code: def _total_raw_effect(
      y_obs: np.ndarray, y_pred: np.ndarray, se_pred: np.ndarray
  ) -> float:
      min_y_obs = np.min(y_obs)
      return float((np.max(y_obs) - min_y_obs) / min_y_obs)
  
file_path: Ax/ax/utils/stats/model_fit_stats.py
imports: from typing import Dict, Mapping, Optional, Protocol
  import numpy
  from scipy.stats import fisher_exact, norm, pearsonr, spearmanr
label_desc: Use image node_id 9 for calling a global function with example usage: _total_raw_effect(y_obs, y_pred, se_pred) and returns: float